Universal machine learning interatomic potentials poised to supplant DFT in modeling general defects in metals and random alloys by Fei Shuang, Zixiong Wei, Kai Liu, Wei Gao, Poulumi Dey

“…We also present a systematic analysis of accuracy versus computational cost and explore uncertainty quantification for uMLIPs. …”
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Coupling of numerical groundwater–ocean models to improve understanding of the coastal zone by J. Jin, J. Jin, J. Jin, M. Espino, M. Espino, D. Fernàndez-Garcia, D. Fernàndez-Garcia, A. Folch, A. Folch

“…Validation of the coupled model against empirical data confirmed its high fidelity, with errors within acceptable ranges.…”
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Exploration of machine learning approaches for automated crop disease detection by Annu Singla, Ashima Nehra, Kamaldeep Joshi, Ajit Kumar, Narendra Tuteja, Rajeev K. Varshney, Sarvajeet Singh Gill, Ritu Gill

“…This systematic review provides a comprehensive analysis after text mining the most recent literature resources of the last half a decade. …”
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Evaluation of intervention systematic reviews on chronic non-communicable diseases and lifestyle risk factors in low-middle income countries: meta-research by Beatriz Hadassa Silva Cano, Giulianna Faypher Morena Vieira da Silva, Gustavo Dias Bottari, Eduarda Letícia Balbinot, Maria Laura Rodrigues Uggioni, Leonardo Roever, Maria Inês da Rosa, Antonio José Grande

“…Abstract Background Systematic Reviews (SRs) rigorously synthesize findings on a theme, but some articles with this design are redundant due to errors and conflicts. Meta-research aims to rigorously analyze research, assessing SRs’ methodological quality and result reliability. …”
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Knowledge, Attitude, and Practice of Parents Regarding Children's Eye Care: A Cross-Sectional Study from Southwestern Saudi Arabia by Abdulaziz H. Alhazmi, Osama A. Mobarki, Rana A. Sumayli, Revan Abdulrahman Arishi, Fatimah N. Hakami, Naif A. Gharwi, Ehab F. Hakami, Ebrahim M. Abulqusim, Dhiyaa A. Otayf, Ismail Abuallut

“…Awareness of specific eye conditions varied, with 57% aware of refractive errors, 71% of amblyopia, and 85% of cataracts. Logistic regression analysis identified participants’ area of residence and educational level as significant predictors of good knowledge and positive attitudes towards child eye care, while factors such as age and nationality had variable effects. …”
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Experimental and Numerical Study on Dynamic Porosity of the Flow Layer During the Paddy Grain Convective Drying Process by Bin Li, Chuandong Liu, Zebao Li, Yuelang Liu, Haoping Zhang, Xuefeng Zhang, Cheng Lv, Zhiheng Zeng

“…The Conclusions provide an analysis method for dynamic change characteristic parameters and basic data for the dynamic change of porosity to reduce drying energy consumption, improve the drying power coefficient, and enhance drying quality.…”
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Knowledge, Attitude, and Practice of Parents Regarding Children's Eye Care: A Cross-Sectional Study from Southwestern Saudi Arabia by Abdulaziz H. Alhazmi, Osama A. Mobarki, Rana A. Sumayli, Revan Abdulrahman Arishi, Fatimah N. Hakami, Naif A. Gharwi, Ehab F. Hakami, Ebrahim M. Abulqusim, Dhiyaa A. Otayf, Ismail Abuallut

“…Awareness of specific eye conditions varied, with 57% aware of refractive errors, 71% of amblyopia, and 85% of cataracts. Logistic regression analysis identified participants’ area of residence and educational level as significant predictors of good knowledge and positive attitudes towards child eye care, while factors such as age and nationality had variable effects. …”
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A Modified MobileNetv3 Coupled With Inverted Residual and Channel Attention Mechanisms for Detection of Tomato Leaf Diseases by Rubina Rashid, Waqar Aslam, Romana Aziz, Ghadah Aldehim

“…This feature integration and data analysis scheme are then deployed to provide a tomato leaf disease detection Android app. …”
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New High-Throughput Method for Aluminum Content Determination in Vaccine Formulations by Lorenzo Di Meola, Daniela Pasqui, Chiara Tigli, Stephen Luckham, Silvio Colomba, Marilena Paludi, Maxime Denis, Angelo Palmese, Daniela Stranges, Agnese Marcelli, Alessio Moriconi, Malte Meppen, Carlo Pergola

“…The factors influencing the spectrophotometric analysis, such as different plate 96/well containers, variation in the sedimentation of the suspension due to component addition errors during formulation, and batch-to-batch variation were studied to assess the method’s robustness. …”
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Identification of television images in vision systems based on mathematical apparatus of cubic normalized B-splines by Vladimir A Krutov, Dmitry A Bezuglov, Oleg V. Shvachko

“…Unlike the known approaches, the differentiation takes into account data on the intensity in the whole image line. This minimizes the noise effect. …”
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Academic Staff Perspectives on the Impact of Artificial Intelligence on Pharmaceutical Sciences Research and Writing: A Qualitative Study. by Samer Imad Mohammed, Dheyaa Jabbar Kadhim, Basma Zuheir Al-Metwali, Ehab Mudher Mikhael, Noor Mohammed Hassan

“…The interviews were done in person with the participants from May to November 2023. The data was analyzed using thematic analysis. Ten academics aged 41 to 59 years participated in this study. …”
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Insights into healthcare workers’ perceptions of electronic medical record system utilization: a cross-sectional study in Mafeteng district, Lesotho by Tebeli E. Sekoai, Astrid Turner, Janine Mitchell

“…Abstract Background Electronic medical record (EMR) systems have significantly transformed how healthcare data is created, managed, and utilized, offering improved legibility, accessibility, and support for clinical decision-making compared to paper records. …”
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Can Separation Enhance Fusion? An Efficient Framework for Target Detection in Multimodal Remote Sensing Imagery by Yong Wang, Jiexuan Jia, Rui Liu, Qiusheng Cao, Jie Feng, Danping Li, Lei Wang

“…Furthermore, small-target detection remains a critical challenge in remote sensing image analysis, as small targets occupy only a few pixels, making feature extraction difficult and prone to errors. …”
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The use of intraoperative ultrasound in patients with focal cortical dysplasia: preliminary observations by A. A. Sufianov, S. V. Mirhaydarov, Yu. A. Yakimov, O. M. Klimenko, A. A. Skripnikov, S. Z. Stefanov, O. N. Sadykova, R. S. Talybov, R. A. Sufianov

“…Using the neuronavigation system may not be helpful because of errors caused by displacement of brain tissues after opening the dura mater and resection of pathological foci. …”
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Distribution of University Admission Quotas: Problems of Competitive Selection Process by L. M. Nurieva, S. G. Kiselev

“…The present research is based on the methodology of integrated research, including the methods of comparative and statistical analysis of data, their systematisation and generalisation.Results and scientific novelty. …”
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Farmers’ knowledge and perception of finger millet blast disease and its control practices in western Kenya by Wilton Mbinda, Agnes Kavoo, Fredah Maina, Margaret Odeph, Cecilia Mweu, Naomi Nzilani, Mathew Ngugi

“…Descriptive analysis was done by calculating means, percentages, frequencies, and standard errors. …”
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Predicting the compressive strength of concrete incorporating waste powders exposed to elevated temperatures utilizing machine learning by Islam N. Fathy, Hany A. Dahish, Mohammed K. Alkharisi, Alaa A. Mahmoud, Hala Emad Elden Fouad

“…The developed models were evaluated against experimental data and previously established models. The XGB model demonstrated the highest R2 of 0.9989, alongside the lowest prediction errors: MAE of 0.1351 MPa, RMSE of 0.1842 MPa, and MAPE of 0.48%. …”
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A New Method to Calculate the Relative Permeability of Oil and Water in Tight Oil Reservoirs by Considering the Nonlinear Flow by Haibo Su, Duocai Wang, Ping Zhang, Yongsheng An, Yaping Fu, Jun Lu, Famu Huang, Hong Zhang, Zhongxing Ren, Zhuo Li

“…When the velocity and the displacement pressure gradient do not follow the linear flow law, there are some errors in the results of oil-water relative permeability calculated by the JBN method. …”
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Digital inclusion for a sustainable future: Catalysing green economic growth by Oleksii Lyulyov, Tetyana Pimonenko, Aleksy Kwilinski

“…A baseline regression model is used to explore the relationship between digital inclusion and green economic development, which is further validated through robustness checks via Panel-Corrected Standard Errors (PCSE) and Feasible Generalized Least Squares (FGLS). …”
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Risk Assessment Approach of Toll Road Operator by A. Yu. Talavirya, M. B. Laskin

“…The main research tool is simulation modeling in the AnyLogic software environment, the analysis of the data obtained as a result of simulation was carried out in the environment of the statistical package R. …”
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